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Record W2996436572 · doi:10.1021/acs.jpcc.9b11202

Probing Interaction of Divalent Cations with Illite Basal Surfaces by Atomic Force Microscopy

2019· article· en· W2996436572 on OpenAlexafffund
Huaizhi Shao, Jing Chang, Zhenzhen Lu, James S. Grundy, Guangyuan Xie, Zhenghe Xu, Qingxia Liu

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicMinerals Flotation and Separation Techniques
Canadian institutionsUniversity of Alberta
FundersCanadian Centre for Clean Coal/Carbon and Mineral Processing TechnologiesNatural Sciences and Engineering Research Council of CanadaChina Scholarship Council
KeywordsDivalentIlliteDLVO theoryChemistryAdsorptionInorganic chemistryCrystallographySurface chargeAnalytical Chemistry (journal)MineralogyChromatographyClay mineralsPhysical chemistryOrganic chemistryColloid

Abstract

fetched live from OpenAlex

Smooth basal surfaces of illite were prepared successfully, and the interaction forces between a Si3N4 tip and illite basal surface with various concentrations of divalent cations in 10 mM KCl solution at pH 8.0 and 10.8 were measured using an atomic force microscope (AFM). The influence of divalent cation concentration on the interaction forces was investigated, and the surface potentials of the basal surfaces in varying concentrations of divalent cation solutions were determined by fitting the interaction forces with the classical Derjaguin–Landau–Verwey–Overbeek (DLVO) theory. With an increasing CaII or MgII concentration, the surface potentials became less negative in pH 8.0 solution, while the surface potentials reversed from negative to positive after addition of 1.0 mM or more divalent cations in pH 10.8 solution. Electrostatic interaction and specific adsorption were the major contributors to the interaction between divalent cations and illite basal surface in solutions at pH 8.0 and 10.8, respectively. CaII and MgII cations had a similar effect magnitude on the illite basal surfaces at pH 8.0. In contrast, MgII cations had a more profound effect than CaII on the surface potential of the illite basal surface in pH 10.8 solution, likely due to the low solubility of Mg(OH)2 at this pH. This quantitative description of the illite basal surface charge influenced by divalent cations can provide fundamental insight into the mechanisms of tailings treatment and slime coatings in minerals processing.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.321

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.254
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2019
Admission routes2
Has abstractyes

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Same venueThe Journal of Physical Chemistry CSame topicMinerals Flotation and Separation TechniquesFrench-language works237,207